English

Sensing of Low-Frequency Electric Fields Using Rydberg EIT within the Fisher Information Framework

Quantum Physics 2026-04-20 v1

Abstract

Rydberg atoms, which possess exceptionally large electric dipole moments, offer a promising route for electric field sensing as well as metrology traceable to the International System of Units (SI); however, current research predominantly focuses on the microwave (MW) regime, leaving the quasi-direct current (quasi-DC) and low-frequency bands, ubiquitous in power systems, largely unexplored. In this paper, we present a theoretical investigation into low-frequency electric field detection. To this end, we establish a comprehensive modeling framework incorporating Fisher information (FI) and the Cram\'{e}r-Rao lower bound (CRLB) to quantify the fundamental precision limits of electromagnetically induced transparency (EIT) readouts. Building upon this framework, we propose a linearized sensing strategy utilizing a DC-biased two-point differential measurement. Numerical validations demonstrate that this approach effectively mitigates the weak-field insensitivity for both DC and AC fields, achieving a CRLB-limited sensitivity bound of approximately 1×1041\times 10^{-4} V/m/Hz\sqrt{\text{Hz}}. Furthermore, to surpass the single-pass sensitivity limit, we introduce a Fabry-P\'{e}rot (FP) cavity-enhanced configuration. This architecture leverages intracavity phase modulation to significantly steepen the transmission slope, boosting the FI by over two orders of magnitude compared to standard free-space configurations. This work provides a rigorous theoretical basis and design guidance for the high-precision quantum monitoring of electromagnetic environments in smart grids.

Keywords

Cite

@article{arxiv.2604.15912,
  title  = {Sensing of Low-Frequency Electric Fields Using Rydberg EIT within the Fisher Information Framework},
  author = {Tianyu Zhou and Haipeng Xie and Xin Wang},
  journal= {arXiv preprint arXiv:2604.15912},
  year   = {2026}
}

Comments

16 pages; 12 figures

R2 v1 2026-07-01T12:14:10.672Z